Triple

T16620728
Position Surface form Disambiguated ID Type / Status
Subject Minh Mạng E403818 entity
Predicate birthPlace P1 FINISHED
Object Phú Xuân E863206 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Phú Xuân | Statement: [Minh Mạng, birthPlace, Phú Xuân]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phú Xuân
Context triple: [Minh Mạng, birthPlace, Phú Xuân]
  • A. Phú Xuân chosen
    Phú Xuân was the historic city that served as the imperial capital of Vietnam, located in present-day Huế.
  • B. Lao Bảo
    Lao Bảo is a border town in Quảng Trị Province, Vietnam, known as a key commercial and transit point on the route between Vietnam and Laos.
  • C. Long Xuyen
    Long Xuyen is a major city in Vietnam’s Mekong Delta region, serving as the capital of An Giang Province and an important economic and cultural center.
  • D. Hoa Hao
    Hoa Hao is a Vietnamese Buddhist reform movement known for its simple, rural-focused practice, strong ethical emphasis, and significant following among Vietnamese communities both in Vietnam and abroad.
  • E. Lang Son
    Lang Son is a mountainous border city in northeastern Vietnam known as a key trade gateway with China and for its surrounding karst landscapes and historical sites.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754d6b4c81908eab5210c386ea15 completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db27f788190a3c57b7ea8a8a9c6 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.